I am pretty much sure that if you look carefully at any friend's timeline profile you can easily predict what going on in his/her life, Even you can write his/her entire life, you can also find out the hidden fact which he/she never told or updated directly but indirectly he/she shared n liked related thing which will help you to analyze his/her activity. Is it anyway possible to build an automated system which can read n analyze friends entire facebook profile, his/her shared stuff, likes, comments etc. and create a report which will expose his/her entire life facts including hidden one, using some AI or Machine learning concepts?
PROVO, Utah — A study delving into the reasons why so many of us use Facebook so frequently boils it down to four main archetypes of Facebook users: the relationship builder, the selfie artist, the town crier, and the window shopper. Every day, 1.28 billion people check in on Facebook at some point.
The stalker, baby boomer, newbie, over-sharer, brand promoter, fearful user, curator, gamer, and non-user - these are the 9 types of Facebook users, according to digital marketing firm Optify in a recently released infographic.
There's no system that will automatically be able to give content and understanding like you're looking for automatically. The human mind is able to infer a lot that computers simply can't understand. Also, you (generally) know some things about the people outside of Facebook (since you are friends with them) that fills in a lot of detail that the analysis system won't have.
The best thing you can do is to clearly define your problem and question that you're asking. There was a 'gaydar' project at MIT that was able to look at networks of students and generally correlate which ones are gay. For large groups you'll find it works overall, but for an individual person you're not going to be able to have great certainty.
Yet, to just ask the computer to 'find hidden information' won't work. You need to have a pretty solid model to work with. Overall, you're probably going to need a lot of data with confirmed facts to get started on testing that model as well (thousands of points needed). Also, with any social network you'll find that there is a lot of inaccurate/fake data on any given social network. People mis-list things all the time for various reasons (humor, etc) and this is going to throw off your models.
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